Ensemble classification by critic-driven combining. - David J. Miller 001; Lian Yan (ICASSP, 1999)

Time series prediction via neural network inversion. - Lian Yan; David J. Miller 001 (ICASSP, 1999)

Approximate maximum entropy joint feature inference for discrete space classification. - David J. Miller 001; Lian Yan (IJCNN, 1999)

Critic-driven ensemble classification. - David J. Miller 001; Lian Yan (IEEE Trans. Signal Process., 1999)

Approximate Maximum Entropy Joint Feature Inference Consistent with Arbitrary Lower-Order Probability Constraints: Application to Statistical Classification. - David J. Miller 001; Lian Yan (Neural Comput., 2000)

General statistical inference for discrete and mixed spaces by an approximate application of the maximum entropy principle. - Lian Yan; David J. Miller 001 (IEEE Trans. Neural Networks Learn. Syst., 2000)

Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic. - Lian Yan; Robert H. Dodier; Michael Mozer; Richard H. Wolniewicz (ICML, 2003)

Predicting prostate cancer recurrence via maximizing the concordance index. - Lian Yan; David Verbel; Olivier Saidi (KDD, 2004)

Predicting Customer Behavior in Telecommunications. - Lian Yan; Richard H. Wolniewicz; Robert H. Dodier (IEEE Intell. Syst., 2004)

Predicting customer behavior via calling links. - Lian Yan; Michael Fassino; Patrick Baldasare (IJCNN, 2005)

Enhancing the lift under budget constraints: an application in the mutual fund industry. - Lian Yan; Michael Fassino; Patrick Baldasare (KDD, 2005)

Beyond classification and ranking: constrained optimization of the ROI. - Lian Yan; Patrick Baldasare (KDD, 2006)

A Decode-and-Forward Relay-Aided Proactive Eavesdropping Scheme for Wireless Surveillance. - Haowei Wu; Lian Yan; Rui Ma; Jinglan Ou; Jingyue Cui (ICCC, 2020)

Contextual Policy Transfer in Meta-Reinforcement Learning via Active Learning. - Jingchi Jiang; Lian Yan; Xuehui Yu; Yi Guan (WISA, 2022)

Efficient Evidence-Based Dialogue System for Medical Diagnosis. - Lian Yan; Yi Guan; Haotian Wang 007; Yi Lin; Jingchi Jiang (BIBM, 2023)

Apollo's Oracle: Retrieval-Augmented Reasoning in Multi-Agent Debates. - Haotian Wang 007; Xiyuan Du; Weijiang Yu; Qianglong Chen; Kun Zhu 025; Zheng Chu; Lian Yan; Yi Guan (CoRR, 2023)

ARLPE: A meta reinforcement learning framework for glucose regulation in type 1 diabetics. - Xuehui Yu; Yi Guan; Lian Yan; Shulang Li; Xuelian Fu; Jingchi Jiang (Expert Syst. Appl., 2023)

ProSpec RL: Plan Ahead, then Execute. - Liangliang Liu; Yi Guan; Boran Wang; Rujia Shen; Yi Lin; Chaoran Kong; Lian Yan; Jingchi Jiang (CoRR, 2024)

EIRAD: An Evidence-Based Dialogue System With Highly Interpretable Reasoning Path for Automatic Diagnosis. - Lian Yan; Yi Guan; Haotian Wang 007; Yi Lin; Yang Yang 137; Boran Wang; Jingchi Jiang (IEEE J. Biomed. Health Informatics, 2024)

Agri-CM³: A Chinese Massive Multi-modal, Multi-level Benchmark for Agricultural Understanding and Reasoning. - Haotian Wang; Yi Guan; Fanshu Meng; Chao Zhao; Lian Yan; Yang Yang 041; Jingchi Jiang (ACL (1), 2025)

RLKGF: Reinforcement Learning from Knowledge Graph Feedback Without Human Annotations. - Lian Yan; Chen Tang; Yi Guan; Haotian Wang 007; Songyuan Wang; Haifeng Liu; Yang Yang 137; Jingchi Jiang (ACL (Findings), 2025)

Multi-modal multi-agent debate-based dialectical knowledge transfer learning. - Haotian Wang 007; Weijiang Yu; Xiyuan Du; Qianglong Chen; Zheng Chu; Lian Yan; Jingchi Jiang; Yi Guan (Appl. Soft Comput., 2025)

Learning to break: Knowledge-enhanced reasoning in multi-agent debate system. - Haotian Wang 007; Xiyuan Du; Weijiang Yu; Qianglong Chen; Kun Zhu 025; Zheng Chu; Lian Yan; Yi Guan (Neurocomputing, 2025)

Knowledge assimilation: Implementing knowledge-guided agricultural large language model. - Jingchi Jiang; Lian Yan; Haifeng Liu; Zhenbo Xia; Haotian Wang 007; Yang Yang 137; Yi Guan (Knowl. Based Syst., 2025)

AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models. - Lian Yan; Haotian Wang; Chen Tang; Haifeng Liu; Tianyang Sun; Liangliang Liu; Yi Guan; Jingchi Jiang (CoRR, 2025)